Are you interested in computational advertising and sponsored recommendations? Do you thrive in a fast-paced organization with significant impact on hundreds of millions of customers? Do you love to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems? If so, Amazon Sponsored Products could be the right place for you.
The Sponsored Products (SP) Off-Search team is focused on building delightful ad experiences across various surfaces on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SP across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value.
We are seeking a Principal Applied Scientist to lead development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our end-to-end advertising flow. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced—elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.
Key job responsibilities
This role will be pivotal in rethinking how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:
* Lead the design and development of GenAI-powered solutions to transform ad retrieval, auctions, whole-page relevance, and bespoke shopping experiences.
* Collaborate cross-functionally with scientists, engineers, and product leaders to bring scalable, production-ready GenAI solutions to life.
* Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.
* Champion a long-term scientific vision for advertising that aligns with customer value, business strategy, and the technological frontier.
* Play a critical role in enhancing the team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.
* Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.
